What's on offer : A place where you can move your career forward, where you'll be continuously backed to make new ideas happen, and the chance to do work that makes real, significant impact in the world.
We're proud to be recognised as one of Australia's Best Workplaces™ by Great Place to Work®, a Family Friendly Workplace, a WORK endorsed employer for women and WGEA Employer of Choice for Gender Equality.
The support of a highly engaged, high-performing team including a leadership team that's you'll actually have face time with.
22 weeks paid parental leave for primary caregivers, four weeks paid secondary caregivers leave, six weeks paid gender affirming care leave.
Job Description Data Engineers are accountable for enabling carsales teams to realise commercial outcomes through the delivery of effective data transport systems.
Key responsibilities include: Contributing to the delivery of scalable data architectures Collaborating across data disciplines to develop, optimize, and maintain data pipelines and solutions Contributing to team discussions & knowledge, and being a team player in delivering scalable data engineering projects Building effective working relationships, acting as an SME enabling product analytics and commercial solutions Contributing to identifying and delivering improvements in data platforms and services Taking personal accountability for outcomes Owning the delivery of their allocated initiatives within specified scope, on-time and within-budget Qualifications Critical to success in the role is the ability to operate in the liminal space between business, data and technical practice.
Experience and skills required are: An all-of-business ownership mindset over siloed success, with high levels of personal integrity and accountability Ability to understand well-defined engineering problems, and distil and solve them in robust ways Experience with software engineering fundamentals (e.g.
data structures, software build & testing principles) Skilled in designing and building pipelines using cloud services such as AWS EC2, Glue, Lambda, SNS, SQS, IAM, ECS or equivalent Demonstrated experience with distributed technologies such as Airflow, HDFS, EMR Proficient in two or more programming languages such as Python, Spark, Scala or similar